Deprescribing of antidepressants: development of indicators of high-risk and overprescribing using the RAND/UCLA Appropriateness Method.

BACKGROUND: Antidepressants are first-line medications for many psychiatric disorders. However, their widespread long-term use in some indications (e.g., mild depression and insomnia) is concerning. Particularly in older adults with comorbidities and polypharmacy, who are more susceptible to adverse drug reactions, the risks and benefits of treatment should be regularly reviewed. The aim of this consensus process was to identify explicit criteria of potentially inappropriate antidepressant use (indicators) in order to support primary care clinicians in identifying situations, where deprescribing of antidepressants should be considered. METHODS: We used the RAND/UCLA Appropriateness Method to identify the indicators of high-risk and overprescribing of antidepressants. We combined a structured literature review with a 3-round expert panel, with results discussed in moderated meetings in between rounds. Each of the 282 candidate indicators was scored on a 9-point Likert scale representing the necessity of a critical review of antidepressant continuation (1-3 = not necessary; 4-6 = uncertain; 7-9 = clearly necessary). Experts rated the indicators for the necessity of review, since decisions to deprescribe require considerations of patient risk/benefit balance and preferences. Indicators with a median necessity rating of ≥ 7 without disagreement after 3 rating rounds were accepted. RESULTS: The expert panel comprised 2 general practitioners, 2 clinical pharmacologists, 1 gerontopsychiatrist, 2 psychiatrists, and 3 internists/geriatricians (total N = 10). After 3 assessment rounds, there was consensus for 37 indicators of high-risk and 25 indicators of overprescribing, where critical reviews were felt to be necessary. High-risk prescribing indicators included settings posing risks of drug-drug, drug-disease, and drug-age interactions or the occurrence of adverse drug reactions. Indicators with the highest ratings included those suggesting the possibility of cardiovascular risks (QTc prolongation), delirium, gastrointestinal bleeding, and liver injury in specific patient subgroups with additional risk factors. Overprescribing indicators target patients with long treatment durations for depression, anxiety, and insomnia as well as high doses for pain and insomnia. CONCLUSIONS: Explicit indicators of antidepressant high-risk and overprescribing may be used directly by patients and health care providers, and integrated within clinical decision support tools, in order to improve the overall risk/benefit balance of this commonly prescribed class of prescription drugs.

Barriers, facilitators and needs to deprescribe benzodiazepines and other sedatives in older adults: a mixed methods study of primary care provider perspectives.

BACKGROUND: Benzodiazepines and other sedative hypnotic drugs (BSHs) are frequently prescribed for sleep problems, but cause substantial adverse effects, particularly in older adults. Improving knowledge on barriers, facilitators and needs of primary care providers (PCPs) to BSH deprescribing could help reduce BSH use and thus negative effects. METHODS: We conducted a mixed methods study (February-May 2023) including a survey, semi-structured interviews and focus groups with PCPs in Switzerland. We assessed barriers, facilitators and needs of PCPs to BSH deprescribing. Quantitative data were analyzed descriptively, qualitative data deductively and inductively using the Theoretical Domain Framework (TDF). Quantitative and qualitative data were integrated using meta-interferences. RESULTS: The survey was completed by 126 PCPs (53% female) and 16 PCPs participated to a focus group or individual interview. The main barriers to BSH deprescribing included patient and PCP lack of knowledge on BSH effects and side effects, lack of PCP education on treatment of sleep problems and BSH deprescribing, patient lack of motivation, PCP lack of time, limited access to cognitive behavioral therapy for insomnia and absence of public dialogue on BSHs. Facilitators included informing on side effects to motivate patients to discontinue BSHs and start of deprescribing during a hospitalization. Main PCP needs were practical recommendations for pharmacological and non-pharmacological treatment of sleep problems and deprescribing schemes. Patient brochures were wished by 69% of PCPs. PCPs suggested the brochures to contain explanations about risks and benefits of BSHs, sleep hygiene and sleep physiology, alternative treatments, discontinuation process and tapering schemes. CONCLUSION: The barriers and facilitators as well as PCP needs and opinions on patient material we identified can be used to develop PCP training and material on BSH deprescribing, which could help reduce the inappropriate use of BSHs for sleep problems.

Social media group support for antidepressant deprescribing: a mixed-methods survey of patient experiences.

Background Antidepressant use has continually increased in recent decades and although they are an effective treatment for moderate-to-severe depression, when there is no longer a clinical benefit, deprescribing should occur. Currently, routine deprescribing is not part of clinical practice and research shows that there has been an increase in antidepressant users seeking informal support online. This small scoping exercise used a mixed-methods online survey to investigate the motives antidepressant users have for joining social media deprescribing support groups, and what elements of the groups are most valuable to them. Methods Thirty members of two antidepressant deprescribing Facebook groups completed an online survey with quantitative and open-text response questions to determine participant characteristics and motivation for group membership. Quantitative data were analysed using descriptive statistics, and open-text responses were analysed thematically through NVivo. Results Two overarching themes were evident: first, clinician expertise , where participants repeatedly reported a perceived lack of skills around deprescribing by their clinician, not being included in shared decision-making about their treatment, and symptoms of withdrawal during deprescribing going unaddressed. Motivated by the lack of clinical support, peer support developed as the second theme. Here, people sought help online where they received education, knowledge sharing and lived experience guidance for tapering. The Facebook groups also provided validation and peer support, which motivated people to continue engaging with the group. Conclusions Antidepressant users who wish to cease their medication are increasingly subscribing to specialised online support groups due to the lack of information and support from clinicians. This study highlights the ongoing need for such support groups. Improved clinician understanding about the complexities of antidepressant deprescribing is needed to enable them to effectively engage in shared decision-making with their patients.

Considerations, barriers and enablers of deprescribing among healthcare professionals in Ogun State, Southwest, Nigeria: a cross-sectional survey.

BACKGROUND: Deprescribing is a clinical intervention aimed at managing polypharmacy and improving older adults' health outcomes. However, evidence suggests that healthcare professionals (HCPs) may face challenges in implementing the intervention. This study aimed to explore the considerations, barriers and enablers of deprescribing among HCPs in Southwest Nigeria. METHODS: A quantitative cross-sectional survey was carried out among consecutively sampled HCPs including physicians, pharmacists and nurses in two public tertiary healthcare hospitals in Ogun State, Southwest, Nigeria. A structured 43-item self-administered questionnaire was used to explore the participants' sociodemographics, HCPs' experience, considerations, barriers and enablers of deprescribing in older adults. The data were summarised using descriptive statistics including frequency and percentage. The Kruskal-Wallis test was used to determine differences in perceptions among the groups on a Likert scale. A p-value < 0.05 was considered significant. RESULTS: Overall, 453 copies of the questionnaire were analysed. Of the participants 204 (45.0%) were within the age group of 20-30 years; 173 (38.2%) claimed that older adults occasionally requested deprescribing of their medications. The majority (417; 92.1%) considered patients' quality of life to be very important in deprescribing; 423 (93.4%) opined that having a care goal known to members of the HCP team is an enabler for deprescribing while 308 (68.0%) disagreed or strongly disagreed that lack of incentives and remuneration for HCPs that de-prescribe is a barrier to deprescribing. There is a significant difference among the participants across professional groups on the assertion that pressure from pharmaceutical companies is a barrier to deprescribing in older adults (p = 0.037). CONCLUSIONS: The participants in this study had various considerations for deprescribing medication in older adults including patients' quality of life. Having a care goal known to every HCP involved in managing a patient is an enabler for deprescribing while the lack of incentives and remuneration for HCPs that de-prescribe may not necessarily be a barrier to deprescribing. There is a need for regulations and policies to support the identified enablers among HCPs and reduce the barriers to effective deprescribing process.

Deprescribing: An umbrella review.

This umbrella review examined systematic reviews of deprescribing studies by characteristics of intervention, population, medicine, and setting. Clinical and humanistic outcomes, barriers and facilitators, and tools for deprescribing are presented. The Medline database was used. The search was limited to systematic reviews and meta-analyses published in English up to April 2022. Reviews reporting deprescribing were included, while those where depre-scribing was not planned and supervised by a healthcare professional were excluded. A total of 94 systematic reviews (23 meta--analyses) were included. Most explored clinical or humanistic outcomes (70/94, 74 %); less explored attitudes, facilitators, or barriers to deprescribing (17/94, 18 %); few focused on tools (8/94, 8.5 %). Reviews assessing clinical or humanistic outcomes were divided into two groups: reviews with deprescribing intervention trials (39/70, 56 %; 16 reviewing specific deprescribing interventions and 23 broad medication optimisation interventions), and reviews with medication cessation trials (31/70, 44 %). Deprescribing was feasible and resulted in a reduction of inappropriate medications in reviews with deprescribing intervention trials. Complex broad medication optimisation interventions were shown to reduce hospitalisation, falls, and mortality rates. In reviews of medication cessation trials, a higher frequency of adverse drug withdrawal events underscores the importance of prioritizing patient safety and exercising caution when stopping medicines, particularly in patients with clear and appropriate indications.

Reducing potentially inappropriate polypharmacy at a national and international level: the impact of deprescribing networks.

INTRODUCTION: Over the past decade, polypharmacy has increased dramatically. Measurable harms include falls, fractures, cognitive impairment, and death. The associated costs are massive and contribute substantially to low-value health care. Deprescribing is a promising solution, but there are barriers. Establishing a network to address polypharmacy can help overcome barriers by connecting individuals with an interest and expertise in deprescribing and can act as an important source of motivation and resources. AREAS COVERED: Over the past decade, several deprescribing networks were launched to help tackle polypharmacy, with evidence of individual and collective impact. A network approach has several advantages; it can spark interest, ideas and enthusiasm through information sharing, meetings and conversations with the public, providers, and other key stakeholders. In this special report, the details of how four deprescribing networks were established across the globe are detailed. EXPERT OPINION: Networks create links between people who lead existing and/or budding deprescribing practices and policy initiatives, can influence people with a shared passion for deprescribing, and facilitate sharing of intellectual capital and tools to take initiatives further and strengthen impact.This report should inspire others to establish their own deprescribing networks, a critical step in accelerating a global deprescribing movement.

Implementation of a Pharmacist-Driven Aspirin Deprescribing Protocol Among Older Veterans in a Primary Care Setting.

Background Recent cardiovascular guideline updates recommend against the use of aspirin for primary prevention of atherosclerotic cardiovascular disease (ASCVD) in older people. However, aspirin use remains common in this population. Objective To implement and evaluate the benefit of a pharmacist-driven aspirin deprescribing protocol compared with primary care provider (PCP) education-only in a primary care setting. Methods This prospective, cohort project targeted deprescribing for patients prescribed aspirin for primary prevention of ASCVD. Patients were included if they received primary care services at the Milwaukee Veterans Health Administration Medical Center (VHA) and were 70 years of age or older. Criteria for exclusion were aspirin obtained outside the VHA system, aspirin prescribed for a non-ASCVD-related condition, and/or a history of ASCVD. Active deprescribing by pharmacists and PCP education took place in the intervention group with PCP education only in the standard-of-care group. The primary outcome was the proportion of patients who had aspirin deprescribed in each group. Secondary outcomes included patient acceptability of the intervention and barriers to implementation. Results A total of 520 patients were prescribed aspirin in the intervention group versus 417 in the education-only group. Sixty-five patients met intervention criteria and were contacted for aspirin deprescribing. The pharmacist-led active deprescribing group led to a higher rate of aspirin deprescriptions versus the education-only group (54% vs 18%; P = 0.0001) for patients who met criteria. Conclusion A pharmacist-led aspirin deprescribing protocol within a primary care setting significantly decreased the number of aspirin prescriptions compared with PCP education only.

Pharmacist-Led Deprescribing of Aspirin in Older People in an Outpatient Setting.

Background In 2019, the American College of Cardiology and American Heart Association updated their joint guidelines stating low-dose aspirin should not be used on a routine basis for primary prevention of atherosclerotic cardiovascular disease (ASCVD) among people older than 70 years of age because of increased bleeding risk.1 In addition to these updated guidelines, a statement released by the US Preventive Services Task Force in April 2022 recommends against the initiation of low-dose aspirin for primary prevention of cardiovascular disease in people 60 years of age or older.² Despite these updated recommendations, aspirin continues to be a common medication older patients take, providing an opportunity for a clinical pharmacist deprescribing intervention. Objective To identify the role of a pharmacist-led aspirin deprescribing intervention within a safety-net health system in the outpatient setting. Methods This project included patients 70 years of age and older who had aspirin listed as an active medication without documented ASCVD. This project assessed aspirin deprescribing rates, time spent on pharmacist outreach, and reasons for patient and/or provider refusal to discontinue aspirin. Results One hundred thirty-one eligible patients were contacted. Of those, 78 (60%) patients discontinued aspirin after speaking with the pharmacist, and 8 patients discontinued aspirin after a clinical pharmacist recommendation to the patient's primary care provider (PCP). The median time spent on outreach was approximately eight minutes. Of the 6 patients who consented to the project but declined to discontinue aspirin therapy based on pharmacist intervention, 5 preferred to discuss the issue with their PCP, while 1 patient was told by an outside provider to take aspirin. Conclusion Results indicate the successful impact a clinical pharmacist may have in deprescribing aspirin in a high-risk population. These data may also suggest that an active and intentional approach to deprescribing is likely to be more effective than a written recommendation to providers.

Managing polypharmacy through medication review tools - pros and cons.

Inappropriate polypharmacy is a common occurrence in elderly patients, resulting in increased adverse drug reactions, nonadherence, and increased healthcare costs. Medication review and deprescribing are the primary strategies described in the literature for dealing with problematic polypharmacy. To effectively carry out the medication review, various tools have been developed. These tools can support medication review in a variety of ways. Some tools include a list of medications requiring detailed attention, while others guide medical professionals with principles and algorithms for reviewing and prescribing medicines. A third category of tools focuses on tracking and identifying symptoms that may be due to drug-related problems.

Measuring Quality of Life in Deprescribing Trials: A Scoping Review.

BACKGROUND: Quality of life (QoL) is an important outcome to capture in clinical trials evaluating deprescribing interventions. OBJECTIVE: We aimed to conduct a scoping review to examine how QoL has been measured in deprescribing trials among older people and identify potentially relevant QoL scales, to better inform QoL measurement in future deprescribing trials. METHODS: We searched MEDLINE, Embase, PsycINFO, the Cochrane Central Register of Controlled Trials, Google Scholar, Epistemonikos, ClinicalTrials.gov, and reference lists of eligible studies (from inception to October 2023). We included randomized and non-randomized comparative studies with a control group that evaluated deprescribing and polypharmacy reduction interventions in people ≥ 65 years of age and measured QoL as an outcome. We also included studies describing the development and validation of QoL scales related to deprescribing, polypharmacy, or medication burden in adults ≥ 18 years of age. Two independent reviewers screened titles and abstracts, then full texts. Two independent reviewers extracted data from 25% of eligible studies in order to verify agreement, then a single reviewer extracted data from the remaining studies, which a second reviewer cross-checked. We critically appraised scales based on the COSMIN checklist. RESULTS: We retrieved 7290 articles, of which 52 were eligible for inclusion, including 44 deprescribing trials and eight scale development studies. From these studies, we found 21 scales that have been used in the context of deprescribing/polypharmacy (12 generic scales used in clinical trials and nine medication-specific scales). Variations of the generic EQ-5D were the most used scales. The measurement properties of scales for capturing changes in QoL from deprescribing were uncertain. Medication-specific QoL scales have not been employed in deprescribing clinical trials and thus, their performance in this context is also not clear. CONCLUSIONS: Several existing QoL scales have been applied to the context of deprescribing/polypharmacy clinical trials, and new scales specific to the problem have been proposed. If deprescribing does impact QoL, our findings suggest it is uncertain whether existing QoL scales can practically and reliably capture such a change or whether any scale is best. However, this review compares various aspects of the scales that researchers and clinicians can consider in decisions about measuring QoL in deprescribing trials, and in planning future research. PROTOCOL REGISTRATION: Open Science Framework: osf.io/aez6w.

Deprescribing in older adults with polypharmacy.

Polypharmacy is common in older adults and is associated with adverse drug events, cognitive and functional impairment, increased healthcare costs, and increased risk of frailty, falls, hospitalizations, and mortality. Many barriers exist to deprescribing, but increased efforts have been made to develop and implement deprescribing interventions that overcome them. This narrative review describes intervention components and summarizes findings from published randomized controlled trials that have tested deprescribing interventions in older adults with polypharmacy, as well as reports on ongoing trials, guidelines, and resources that can be used to facilitate deprescribing. Most interventions were medication reviews in primary care settings, and many contained components such as shared decision making and/or a focus on patient care priorities, training for healthcare professionals, patient facing education materials, and involvement of family members, representing great heterogeneity in interventions addressing polypharmacy in older adults. Just over half of study interventions were found to perform better than usual care in at least one of their primary outcomes, and most study interventions were assessed over 12 months or less.

Gradually tapering off antipsychotics: lessons for practice from case studies and neurobiological principles.

PURPOSE OF REVIEW: There has been an increasing focus on deprescribing in psychiatry recently, particularly of antipsychotic medication, with recognition that not all patients with psychotic disorders require lifelong medication. We summarize some empirical and theoretical papers, and examine case studies to provide instruction on this topic. RECENT FINDINGS: Recent studies have found that slower tapering (over months or longer) of antipsychotics is associated with a lower relapse rate than quicker tapering (weeks). Case studies presented suggest that the process of reduction is associated with the precipitation or exacerbation of psychotic symptoms and that a slower process of reduction may minimize this effect. This may be because faster reductions cause greater disruption of homeostatic equilibria, provoking psychotic symptoms either as direct withdrawal symptoms or consequences of nonpsychotic withdrawal symptoms (e.g. insomnia) - although not all patients will experience withdrawal symptoms. This suggests that smaller dose reductions, especially at lower doses, made very gradually, may minimize the risk of psychotic symptoms. SUMMARY: Slower tapering of antipsychotics may provide time for adaptations made to the presence of the medications to resolve, thus reducing the disruption to homeostatic equilibrium caused by dose reduction, potentially reducing the risk of relapse. Exacerbation of psychotic symptoms on antipsychotic reduction may not represent evidence of the need for a higher dose of antipsychotic on a long-term basis but may indicate the need for more gradual reduction. Gradual reduction of antipsychotics, especially after long-term use in clinical practice is prudent.

Clinician and Family Caregiver Perspectives on Deprescribing Chronic Disease Medications in Older Nursing Home Residents Near the End of Life.

INTRODUCTION: Nursing home (NH) residents with limited life expectancy (LLE) who are intensely treated for hyperlipidemia, hypertension, or diabetes may benefit from deprescribing. OBJECTIVE: This study sought to describe NH clinician and family caregiver perspectives on key influences on deprescribing decisions for chronic disease medications in NH residents near the end of life. METHODS: We recruited family caregivers of veterans who recently died in a Veterans Affairs (VA) NH, known as community living centers (CLCs), and CLC healthcare clinicians (physicians, nurse practitioners, physician assistants, pharmacists, registered nurses). Respondents completed semi-structured interviews about their experiences with deprescribing statin, antihypertensive, and antidiabetic medications for residents near end of life. We conducted thematic analysis of interview transcripts to identify key themes regarding influences on deprescribing decisions. RESULTS: Thirteen family caregivers and 13 clinicians completed interviews. Key themes included (1) clinicians and caregivers both prefer to minimize drug burden; (2) clinical factors strongly influence deprescribing of chronic disease medications, with differences in how clinicians and caregivers weigh specific factors; (3) caregivers trust and rely on clinicians to make deprescribing decisions; (4) clinicians perceive caregiver involvement and buy-in as essential to deprescribing decisions, which requires time and effort to obtain; and (5) clinicians perceive conflicting care from other clinicians as a barrier to deprescribing. CONCLUSIONS: Findings suggest a need for efforts to encourage communication with and education for family caregivers of residents with LLE about deprescribing, and to foster better collaboration among clinicians in CLC and non-CLC settings.

Influence of chronic medical conditions on older patients' willingness to deprescribe medications: a cross-sectional study.

BACKGROUND: Aging correlates with a heightened prevalence of chronic diseases, resulting in multimorbidity affecting 60% of those aged 65 or older. Multimorbidity often leads to polypharmacy, elevating the risk of potentially inappropriate medication (PIM) use and adverse health outcomes. To address these issues, deprescribing has emerged as a patient-centered approach that considers patients' beliefs and attitudes toward medication and reduces inappropriate polypharmacy in older adults. Our study aims to investigate whether certain chronic medical conditions are associated with older patients' willingness to deprescribe medications. METHODS: A cross-sectional study enrolled 192 community-dwelling individuals aged 65 or older taking at least one regular medication. Data included demographics, clinical characteristics, and responses to the Portuguese revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire. Descriptive statistics characterized participants, while multiple binary logistic regression identified associations between chronic medical conditions and willingness to deprescribe. RESULTS: Among the participants (median age: 72 years, 65.6% female), 91.6% had multimorbidity. The analysis revealed that willingness to deprescribe significantly increased with the presence of gastric disease (adjusted odds ratio [aOR] = 4.123; 95% CI 1.221, 13.915) and age (aOR = 1.121; 95% CI 1.009, 1.246). Conversely, prostatic pathology (aOR = 0.266; 95% CI 0.077, 0.916), higher scores in the rPATD appropriateness factor (aOR = 0.384; 95% CI 0.190, 0.773), and rPATD concerns about stopping factor (aOR = 0.450; 95% CI 0.229, 0.883) diminished patients' willingness to deprescribe. CONCLUSIONS: This study highlights the intricate relationship between older patients' attitudes toward deprescribing and chronic medical conditions. We found that gastric disease was associated with an increased willingness to deprescribe medications, while prostate disease was associated with the opposite effect. Future research should explore how patients with specific diseases or groups of diseases perceive deprescribing of medications general and for specific medications, aiding in the development of targeted interventions.

Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care.

Polypharmacy remains an important challenge for patients with extensive medical complexity. Given the primary care shortage and the increasing aging population, effective polypharmacy management is crucial to manage the increasing burden of care. The capacity of large language model (LLM)-based artificial intelligence to aid in polypharmacy management has yet to be evaluated. Here, we evaluate ChatGPT's performance in polypharmacy management via its deprescribing decisions in standardized clinical vignettes. We inputted several clinical vignettes originally from a study of general practicioners' deprescribing decisions into ChatGPT 3.5, a publicly available LLM, and evaluated its capacity for yes/no binary deprescribing decisions as well as list-based prompts in which the model was prompted to choose which of several medications to deprescribe. We recorded ChatGPT responses to yes/no binary deprescribing prompts and the number and types of medications deprescribed. In yes/no binary deprescribing decisions, ChatGPT universally recommended deprescribing medications regardless of ADL status in patients with no overlying CVD history; in patients with CVD history, ChatGPT's answers varied by technical replicate. Total number of medications deprescribed ranged from 2.67 to 3.67 (out of 7) and did not vary with CVD status, but increased linearly with severity of ADL impairment. Among medication types, ChatGPT preferentially deprescribed pain medications. ChatGPT's deprescribing decisions vary along the axes of ADL status, CVD history, and medication type, indicating some concordance of internal logic between general practitioners and the model. These results indicate that specifically trained LLMs may provide useful clinical support in polypharmacy management for primary care physicians.

Validating claims-based definitions for deprescribing: Bridging the gap between clinical and administrative data.

BACKGROUND: Limited research has evaluated the validity of claims-based definitions for deprescribing. OBJECTIVES: Evaluate the validity of claims-based definitions of deprescribing against electronic health records (EHRs) for deprescribing of benzodiazepines (BZDs) after a fall-related hospitalization. METHODS: We used a novel data linkage between Medicare fee-for-service (FFS) and Part D with our health system's EHR. We identified patients aged ≥66 years with a fall-related hospitalization, continuous enrollment in Medicare FFS and Part D for 6 months pre- and post-hospitalization, and ≥2 BZD fills in the 6 months pre-hospitalization. Using a standardized EHR abstraction tool, we adjudicated deprescribing for a sub-sample with a fall-related hospitalization at UNC. We evaluated the validity of claims-based deprescribing definitions (e.g., gaps in supply, dosage reductions) versus chart review using sensitivity and specificity. RESULTS: Among 257 patients in the overall sample, 44% were aged 66-74 years, 35% had Medicare low-income subsidy, 79% were female. Among claims-based definitions using gaps in supply, the prevalence of BZD deprescribing ranged from 8.2% (no refills) to 36.6% (30-day gap). When incorporating dosage, the prevalence ranged from 55.3% to 65.8%. Among the validation sub-sample (n = 47), approximately one-third had BZDs deprescribed in the EHR. Compared to EHR, gaps in supply from claims had good sensitivity, but poor specificity. Incorporating dosage increased sensitivity, but worsened specificity. CONCLUSIONS: The sensitivity of claims-based definitions for deprescribing of BZDs was low; however, the specificity of a 90-day gap was >90%. Replication in other EHRs and for other low-value medications is needed to guide future deprescribing research.

Implementation of an intervention aimed at deprescribing benzodiazepines in a large US healthcare system using patient education materials: a pre/post-observational study with a control group.

OBJECTIVES: Long-term benzodiazepine use is common despite known risks. In the original Eliminating Medications Through Patient Ownership of End Results (EMPOWER) Study set in Canada, patient education led to increased rates of benzodiazepine cessation. We aimed to determine the effectiveness of implementing an adapted EMPOWER quality improvement (QI) initiative in a US-based healthcare system. DESIGN: We used a pre-post design with a non-randomised control group. SETTING: A network of primary care clinics. PARTICIPANTS: Patients with ≥60 days' supply of benzodiazepines in 6 months and ≥1 risk factor (≥65 years of age, a concurrent high-risk medication prescribed or a diazepam equivalent daily dose ≥10) were eligible. INTERVENTION: In March 2022, we engaged 22 primary care physicians (PCPs), and 308 of their patients were mailed an educational brochure, physician letter and flyer detailing benzodiazepine risks; the control group included 4 PCPs and 291 of their patients. PRIMARY AND SECONDARY MEASURES: The primary measure was benzodiazepine cessation by 9 months. We used logistic regression and a generalised estimating equations approach to control for clustering by PCP, adjusting for demographics, frailty, number of risk factors, and diagnoses of arthritis, depression, diabetes, falls, and pain. RESULTS: Patients in the intervention and control groups were comparable across most covariates; however, a greater proportion of intervention patients had pain-related diagnoses and depression. By 9 months, 26% of intervention patients (81 of 308) had discontinued benzodiazepines, compared with 17% (49 of 291) of control patients. Intervention patients had 1.73 greater odds of benzodiazepine discontinuation compared with controls (95% CI: 1.09, 2.75, p=0.02). The unadjusted number needed to treat was 10.5 (95% CI: 6.30, 34.92) and the absolute risk reduction was 0.095 (95% CI: 0.03 to 0.16). CONCLUSIONS: Results from this non-randomised QI initiative indicate that patient education programmes using the EMPOWER brochures have the potential to promote cessation of benzodiazepines in primary care.